Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Rémi Estival"'
Publikováno v:
Information Sciences
Information Sciences, 2021, 544, pp.238-265
Information Sciences, Elsevier, 2021, 544, pp.238-265
Information Sciences, 2021, 544, pp.238-265
Information Sciences, Elsevier, 2021, 544, pp.238-265
International audience; In real-life machine learning applications, a common problem is that raw data (e.g. remote sensing data) is sometimes inaccessible due to confidentiality and privacy constrains of corporations, making classification methods ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5040a30b3c731475cfd181fc279b92
https://hal.science/hal-02938552/file/main.pdf
https://hal.science/hal-02938552/file/main.pdf
Publikováno v:
DICTA2018
DICTA2018, Dec 2018, Canberra, Australia
DICTA
DICTA2018, Dec 2018, Canberra, Australia
DICTA
International audience; Conventional supervised classification approaches have significant limitations in the land cover classification from remote sensing data because a large amount of high quality labeled samples are difficult to guarantee. To ove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::173ac10d64d4890db6901841590de721
https://hal.science/hal-01922096/file/dicta.pdf
https://hal.science/hal-01922096/file/dicta.pdf
Publikováno v:
Volume 5: Ocean Engineering.
Monitoring of meteorological or/and oceanographic conditions is done on many Oil & Gas platforms offshore West and Central Africa (from Nigeria to Angola), but it is often only used in real-time and not necessarily archived on a hard-drive, or it is